Localization of genes

Piotr Szulc. "Localization of genes." Mathematica Applicanda 43.1 (2015): null. <http://eudml.org/doc/293132>.

@article{PiotrSzulc2015,
abstract = {Development of genetics in recent years has led to a situation in which we are able to look at the DNA chains with high precision and collect vast amounts of information. In addition, it turned out that the relationships between genes and traits are more complex than previously thought. These two things caused the need for close collaboration between geneticists and mathematicians whose task is to develop special methods, coping with specific and difficult genetic problems. The article includes an overview of both classic and the latest approaches to the problem of localizing genes that indicate places in the DNA chain, which significantly influence the traits of interest to us. Because of not the best communication between mathematicians and geneticists, knowledge of methods other than the classic among the latter group is still small.},
author = {Piotr Szulc},
journal = {Mathematica Applicanda},
keywords = {statistical genetics, quantitative trait loci, model selection, sparse linear regression, Bayesian Information Criterion},
language = {eng},
number = {1},
pages = {null},
title = {Localization of genes},
url = {http://eudml.org/doc/293132},
volume = {43},
year = {2015},
}

TY - JOUR
AU - Piotr Szulc
TI - Localization of genes
JO - Mathematica Applicanda
PY - 2015
VL - 43
IS - 1
SP - null
AB - Development of genetics in recent years has led to a situation in which we are able to look at the DNA chains with high precision and collect vast amounts of information. In addition, it turned out that the relationships between genes and traits are more complex than previously thought. These two things caused the need for close collaboration between geneticists and mathematicians whose task is to develop special methods, coping with specific and difficult genetic problems. The article includes an overview of both classic and the latest approaches to the problem of localizing genes that indicate places in the DNA chain, which significantly influence the traits of interest to us. Because of not the best communication between mathematicians and geneticists, knowledge of methods other than the classic among the latter group is still small.
LA - eng
KW - statistical genetics, quantitative trait loci, model selection, sparse linear regression, Bayesian Information Criterion
UR - http://eudml.org/doc/293132
ER -